app.py

import gradio as gr
from transformers import AutoTokenizer, AutoModelForSeq2SeqLM, pipeline

# Loading translation model
translation_tokenizer = AutoTokenizer.from_pretrained("ieuniversity/sciencebrief_translation")
translation_model = AutoModelForSeq2SeqLM.from_pretrained("ieuniversity/sciencebrief_translation")
translator = pipeline("translation_en_to_fr", tokenizer=translation_tokenizer, model=translation_model)

def translate(text):
    return translator(text)[0]['translation_text']

iface_translate = gr.Interface(
    fn=translate,
    inputs=gr.inputs.Textbox(lines=10, label="Input Text"),
    outputs=gr.outputs.Textbox(label="Translation"),
    title="ScienceBrief Translation",
    description="Translate your text into French using the ScienceBrief translation model.",
    theme="compact"
)

iface_translate.launch()